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pro vyhledávání: '"De Leone, Renato"'
In this paper, we present novel Twin Parametric Margin Support Vector Machine (TPMSVM) models to tackle the problem of multiclass classification. We explore the cases of linear and nonlinear classifiers and propose two possible alternatives for the f
Externí odkaz:
http://arxiv.org/abs/2306.06213
Bayesian Optimization (BO) is a class of black-box, surrogate-based heuristics that can efficiently optimize problems that are expensive to evaluate, and hence admit only small evaluation budgets. BO is particularly popular for solving numerical opti
Externí odkaz:
http://arxiv.org/abs/2303.00890
Publikováno v:
In Applied Mathematics and Computation 15 November 2023 457
Publikováno v:
In Internet of Things July 2023 22
The scarcity of Smart Home data is still a pretty big problem, and in a world where the size of a dataset can often make the difference between a poor performance and a good performance for problems related to machine learning projects, this needs to
Externí odkaz:
http://arxiv.org/abs/1909.10308
Akademický článek
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Publikováno v:
In Computer Methods and Programs in Biomedicine October 2022 225
Autor:
De Leone, Renato, Minnetti, Valentina
In this short paper, the Electre Tri-Machine Learning Method, generally used to solve ordinal classification problems, is proposed for solving the Record Linkage problem. Preliminary experimental results show that, using the Electre Tri method, high
Externí odkaz:
http://arxiv.org/abs/1505.06614
Autor:
De Cosmis, Sonia, De Leone, Renato
The concepts of infinity and infinitesimal in mathematics date back to anciens Greek and have always attracted great attention. Very recently, a new methodology has been proposed by Sergeyev for performing calculations with infinite and infinitesimal
Externí odkaz:
http://arxiv.org/abs/1107.5681